Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Cell-Dock: high-performance protein-protein docking
Show others and affiliations
2012 (English)In: Bioinformatics, ISSN 1367-4803, E-ISSN 1367-4811, Vol. 28, no 18, 2394-2396 p.Article in journal (Refereed) Published
Abstract [en]

The application of docking to large-scale experiments or the explicit treatment of protein flexibility are part of the new challenges in structural bioinformatics that will require large computer resources and more efficient algorithms. Highly optimized fast Fourier transform (FFT) approaches are broadly used in docking programs but their optimal code implementation leaves hardware acceleration as the only option to significantly reduce the computational cost of these tools. In this work we present Cell-Dock, an FFT-based docking algorithm adapted to the Cell BE processor. We show that Cell-Dock runs faster than FTDock with maximum speedups of above 200x, while achieving results of similar quality.

Place, publisher, year, edition, pages
2012. Vol. 28, no 18, 2394-2396 p.
National Category
Bioinformatics (Computational Biology)
Identifiers
URN: urn:nbn:se:kth:diva-103367DOI: 10.1093/bioinformatics/bts454ISI: 000308532300065Scopus ID: 2-s2.0-84866454213OAI: oai:DiVA.org:kth-103367DiVA: diva2:560941
Funder
Swedish e‐Science Research Center
Note

QC 20121016

Available from: 2012-10-16 Created: 2012-10-11 Last updated: 2017-12-07Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Authority records BETA

Aguilar, Xavier

Search in DiVA

By author/editor
Aguilar, Xavier
By organisation
Centre for High Performance Computing, PDC
In the same journal
Bioinformatics
Bioinformatics (Computational Biology)

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 43 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf